Systems | Development | Analytics | API | Testing

Next-gen FinTech Software Development in 2025

Fintech had a busy year in 2024. Global companies like HDFC, SBI, Paytm, and Google are eliminating the need for traditional financial intermediaries and utilising the best fintech software development companies to provide customers with almost anything, including banking, insurance, credit, mortgages, and more. The invention that gave rise to financial technology, or Fintech, seemed like science fiction even ten years ago.

Advanced Ecto for Elixir Monitoring with AppSignal

In our previous article, we explored the basics of monitoring Ecto with AppSignal, covering everything from initial setup to tracking key metrics such as query execution time and resource consumption. We even set up custom instrumentation for database connection pools to gain deeper insights into our application's performance. However, setting up monitoring is just the first step toward maintaining a healthy, high-performing Elixir application.

Don't Just Hope Your Data Is AI-Ready - Know It

As enterprises double down on AI, there’s a hard truth many leaders are starting to face — they’ve invested in the promise of AI, but they can’t always trust the data behind the predictions. Whether you're training a model, building RAG pipelines, or scaling intelligent automation, AI outcomes are only as reliable as the data feeding them. Yet most organizations still can’t answer a critical question with confidence: Is our data truly AI-ready?

What Agentic AI Demands from Your Data Strategy

If you’re leading a data, analytics, or AI initiative right now, you know the pressure. AI is no longer a future project - it’s a business imperative. Executives want results, boards want differentiation, and the window to deliver is closing fast. That’s why Salesforce’s intent to acquire Informatica should raise serious questions for data leaders. Not just because of what it means for Informatica, but for what it could mean for your AI roadmap.

Machines That Learn Vs Machines That Imagine: GenAI Vs ML

Artificial Intelligence(AI) has recently become a hot topic across industries transforming sectors like finance, healthcare, education and research. The two of its subfields are Generative AI and Machine Learning(ML), but both of these terms are often confused for one another. we will explore the difference in purpose, techniques and capabilities and tools like Keploy’s GenAI-powered testing platform makes big difference in software testing.

13 Best Free Datasets for Call Centers and Telcos

Customer service chatbots and co-pilots and smart call center analysis applications are prime use cases for AI and generative AI. These AI systems and agents can provide real-time recommendations, support customer service at scale, generate insights that can be used in downstream applications to reduce churn and increase revenue, and more. How can customer service organizations grow and optimize their use of data and AI?

Deploy your app to Google Play with Codemagic CLI tools and GitHub Actions

We previously explored how Codemagic CLI tools can streamline iOS app deployment to App Store Connect with GitHub Actions. The Codemagic team has continuously improved these tools, extending their capabilities to Android releases on Google Play Console.

51% of Teams Struggle with Automation Skills | How to Overcome QA's Biggest Challenge

Did you know that 51% of teams cite limited skills or experience in test automation as their biggest challenge? This insight from the State of Software Quality 2025 Report reveals a major roadblock to successful test automation across the industry. Teams continue to face difficulties in implementing and scaling automation due to a lack of trained talent. But there is a path forward—through strategic training, team upskilling, and the use of intuitive automation tools.

Is Ambient Mesh the Future of Service Mesh?

The word on the street is that Ambient Mesh is the obvious evolution of service mesh technology — leaner, simpler, and less resource-intensive. But while Ambient Mesh is an exciting development, the reality is more nuanced. It is more than likely that a sidecar-based mesh is still a better fit for your workload and organization.